Handbook of Mobility Data Mining, Volume 3: Mobility Data-Driven Applications PDF
Preview Handbook of Mobility Data Mining, Volume 3: Mobility Data-Driven Applications
VOLUME THREE H M ANDBOOK OF OBILITY DATA MINING This page intentionally left blank VOLUME THREE H M ANDBOOK OF OBILITY DATA MINING MOBILITY DATA-DRIVEN APPLICATIONS Edited by HAORAN ZHANG School of Urban Planning and Design, Peking University, Shenzhen, China Elsevier Radarweg29,POBox211,1000AEAmsterdam,Netherlands TheBoulevard,LangfordLane,Kidlington,OxfordOX51GB,UnitedKingdom 50HampshireStreet,5thFloor,Cambridge,MA02139,UnitedStates Copyright(cid:1)2023ElsevierInc.Allrightsreserved. Nopartofthispublicationmaybereproducedortransmittedinanyformorbyany means,electronicormechanical,includingphotocopying,recording,oranyinformation storageandretrievalsystem,withoutpermissioninwritingfromthepublisher.Detailson howtoseekpermission,furtherinformationaboutthePublisher’spermissionspolicies andourarrangementswithorganizationssuchastheCopyrightClearanceCenterandthe CopyrightLicensingAgency,canbefoundatourwebsite:www.elsevier.com/permissions. Thisbookandtheindividualcontributionscontainedinitareprotectedundercopyright bythePublisher(otherthanasmaybenotedherein). Notices Knowledgeandbestpracticeinthisfieldareconstantlychanging.Asnewresearchand experiencebroadenourunderstanding,changesinresearchmethods,professional practices,ormedicaltreatmentmaybecomenecessary. Practitionersandresearchersmustalwaysrelyontheirownexperienceandknowledgein evaluatingandusinganyinformation,methods,compounds,orexperimentsdescribed herein.Inusingsuchinformationormethodstheyshouldbemindfuloftheirownsafety andthesafetyofothers,includingpartiesforwhomtheyhaveaprofessional responsibility. Tothefullestextentofthelaw,neitherthePublishernortheauthors,contributors,or editors,assumeanyliabilityforanyinjuryand/ordamagetopersonsorpropertyasa matterofproductsliability,negligenceorotherwise,orfromanyuseoroperationofany methods,products,instructions,orideascontainedinthematerialherein. ISBN:978-0-323-95892-9 ForinformationonallElsevierpublicationsvisitour websiteathttps://www.elsevier.com/books-and-journals Publisher:JosephP.Hayton AcquisitionsEditor:KathrynEryilmaz EditorialProjectManager:AliAfzal-Khan ProductionProjectManager:SwapnaSrinivasan CoverDesigner:GregHarris TypesetbyTNQTechnologies Contents Listofcontributors ix Preface xi Acknowledgments xiii 1. Mobility data inbike-sharing systems 1 YouyiLiang,MengYuan,ZhuochaoLi,HaoZhou,Haoran Zhang,QingYuandYongtuLiang 1. Introduction 1 2. Literaturereview 2 3. Casestudy 5 4. Conclusion 19 References 20 2. Improvement ofan online ride-hailing system based on empirical GPS data 23 JinyuChen,WenjingLi,QingYu,RyosukeShibasaki andHaoranZhang 1. Introduction 23 2. Relatedworks 25 3. Problemdescription 28 4. Studycase 34 5. Methodology 35 6. Resultanalysis 48 7. Conclusionandfuturework 57 References 58 3. Research on vehicle routing problem andapplication scenarios 63 LuWenyi 1. Introduction 63 2. VehicleroutingprobleminMaaSshared-bussystem 64 3. ApplicationScenarioofVehicleRoutingProbleminLogisticsTransportation 77 j v vi Contents 4. Summaryandprospect 86 References 86 4. Travel demand prediction modeland applications 89 WenxiaoJiang 1. Introduction 89 2. Deeplearning 90 3. Traveldemandpredictionmodel 95 4. Studycase 96 5. Resultanddiscussion 97 6. Technicalpotentialanalysisoftraveldemandpredictionmodel 100 7. Conclusion 110 References 110 5. Railwayusagebehavior analysis based on mobilephone big data 113 YanxiuJin 1. Introduction 113 2. Literaturereview 115 3. Methodology 116 4. Casestudy 124 5. Discussionandconclusions 133 References 134 6. An Origin-Destination matrix prediction-based road dynamicpricing optimization system 137 WenxiaoJiang 1. Introduction 137 2. Methodology 140 3. Studycase 146 4. Resultanddiscussion 148 5. Conclusion 151 References 151 Contents vii 7. Blockchain for location-basedbig data-drivenservices 153 GuixuLin,HaoranZhang,XuanSongandRyosukeShibasaki 1. Introduction 153 2. Backgroundofblockchain 157 3. Location-basedbigdata-drivenservices 159 4. Blockchaininlocation-basedbigdata-drivenservices 162 5. Futuretrendofblockchain 166 References 166 8. Mobility data inurbanroademission mitigation 173 ShikunQi,MengYuan,HaoranZhang,YongtuLiangandJinyuChen 1. Introduction 173 2. Literaturereview 174 3. Casestudies 177 4. Conclusion 191 References 192 9. Living environment inequity analyses based on mobile phone big data 195 ChenZhiheng 1. Introduction 195 2. Frameworkanddataset 199 3. Methodology 203 4. Results 208 5. Conclusionandlimitation 214 References 217 Furtherreading 221 Index 223 This page intentionally left blank List of contributors JinyuChen CenterforSpatialInformationScience,TheUniversityofTokyo,Kashiwa-shi,Chiba, Japan JinyuChen SchoolofUrbanPlanningandDesign,PekingUniversity,Beijing,China WenxiaoJiang CenterforSpatialInformationScience,TheUniversityofTokyo,Kashiwa-shi,Chiba, Japan YanxiuJin CenterforSpatialInformationScience,TheUniversityofTokyo,Kashiwa-shi,Chiba, Japan WenjingLi CenterforSpatialInformationScience,TheUniversityofTokyo,Kashiwa-shi,Chiba, Japan ZhuochaoLi NationalEngineeringLaboratoryforPipelineSafety/MOEKeyLaboratoryofPetroleum Engineering/BeijingKeyLaboratoryofUrbanOilandGasDistributionTechnology, ChinaUniversityofPetroleum-Beijing,Beijing,China YongtuLiang NationalEngineeringLaboratoryforPipelineSafety/MOEKeyLaboratoryofPetroleum Engineering/BeijingKeyLaboratoryofUrbanOilandGasDistributionTechnology, ChinaUniversityofPetroleum-Beijing,Beijing,China YouyiLiang NationalEngineeringLaboratoryforPipelineSafety/MOEKeyLaboratoryofPetroleum Engineering/BeijingKeyLaboratoryofUrbanOilandGasDistributionTechnology, ChinaUniversityofPetroleum-Beijing,Beijing,China GuixuLin CenterforSpatialInformationScience,TheUniversityofTokyo,Kashiwa-shi,Chiba, Japan ShikunQi NationalEngineeringLaboratoryforPipelineSafety/MOEKeyLaboratoryofPetroleum Engineering/BeijingKeyLaboratoryofUrbanOilandGasDistributionTechnology, ChinaUniversityofPetroleum-Beijing,Beijing,China RyosukeShibasaki CenterforSpatialInformationScience,TheUniversityofTokyo,Kashiwa-shi,Chiba, Japan j ix
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